metadata

language:
  - en

ViPE-M-CTX7

ViPE: Visualize Pretty-much Everything, is the first automated model for translating any arbitraty piece of text into a visualizable prompt. It helps any text-to-image model in figurative or non-lexical language visualizations.

Model Details

Model Description

Developed by: Computer Graphics Group, University of Tuebingen
Model type: Auto-Regressive
Language: English
License: MIT License for Non-Commercial Use

Model Sources

Repository: Github
Paper: EMNLP2023
Demo:[ViPE Videos] (youtube link)

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Model Card Contact

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